Work

Implementing Approximations to Extreme Eigenvalues and Eigenvalues of Irregular Surface Partitionings for Use in SAR and CAR Models

Year: 2015

Type: article

Abstract: Good approximations of eigenvalues exist for the regular square and hexagonal tessellations. To complement this situation, spatial scientists need good approximations of eigenvalues for irregular tessellations. Starting from known or approximated extreme eigenvalues, the remaining eigenvalues may be in turn approximated. One reason spatial scientists are interested in eigenvalues is because they are needed to calculate the Jacobian term in the autonormal probability model. If eigenvalues are not needed for model fitting, good approximations are needed to give the interval within which the spatial parameter will lie.

Source: Procedia Environmental Sciences

DOI: 10.1016/j.proenv.2015.05.013

Authors: Daniel Griffith, Roger Bivand, Yongwan Chun

Institutions: The University of Texas at Dallas, Adam Mickiewicz University in Poznań, Norwegian School of Economics

Language: English

Topic: Spatial and Panel Data Analysis

Subfield: Economics and Econometrics

Field: Economics, Econometrics and Finance

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W950560918

FWCI:

Cites: 9

Cited by: 2

Related to: 10